import numpy as np
import random

from bokeh.models.tools import BoxZoomTool, ResetTool, PanTool
from bokeh.models import NumeralTickFormatter, HoverTool
from bokeh.io import curdoc, show
from bokeh.plotting import figure, show
from bokeh.palettes import Turbo256
from bokeh.transform import linear_cmap
from bokeh.layouts import row

x = [1, 2, 3, 4, 5]
y1 = [6, 7, 2, 4, 5]
y2 = [2, 3, 4, 5, 6]
y3 = [4, 5, 5, 7, 2]


p = figure(title="Multiple line example",\
#           y_range=(0,25),\
           sizing_mode = "stretch_width",\
           height = 550,\
           y_axis_type = "log",\
           y_range = [0.001, 10**3],\
           x_axis_label='x',\
           y_axis_label='y',\
           tools = [BoxZoomTool(), ResetTool(), HoverTool()],\
           tooltips = "Data point @x has the value @y")

p.line(x, y1, legend_label="Temp.", color="blue", line_width=2)
p.vbar(x=x, top=y2, legend_label="Rate", color="red", width=0.5, bottom=0)
circle = p.circle(x, y3, legend_label="Objects",\
                  fill_color="green", fill_alpha=0.5,\
                  line_color="lightgreen", size=30)

#change plot properties 
glyph = circle.glyph
glyph.line_color = "green"
glyph.fill_color = "lightgreen"

#customize legend
p.legend.location = "top_center"
p.legend.title = "Observations"
p.legend.label_text_font = "times"
p.legend.label_text_font_style = "italic"
p.legend.label_text_color = "navy"
p.legend.border_line_width = 3
p.legend.border_line_color = "navy"
p.legend.border_line_alpha = 0.8
p.legend.background_fill_color = "navy"
p.legend.background_fill_alpha = 0.2

#change axes properties
p.xaxis.axis_label = "Temp"
p.xaxis.axis_line_width = 3
p.xaxis.axis_line_color = "red"

p.yaxis.axis_label = "Pressure"
p.yaxis.major_label_text_color = "orange"
p.yaxis.major_label_orientation = "vertical"

p.axis.minor_tick_in = 0
p.axis.minor_tick_out = -5

#Grid lines
p.xgrid.grid_line_color = "olive"
p.xgrid.grid_line_alpha = 0.1
p.xgrid.grid_line_dash = [3,3]
p.ygrid.grid_line_alpha = 0.8
p.ygrid.grid_line_dash = [6, 4]

#grid bands
p.ygrid.band_fill_color = "olive"
p.ygrid.band_fill_alpha = 0.1
p.xgrid.bounds = (2, 4)

#background colors
p.background_fill_color = "lightgrey"
p.border_fill_color = "olive"
p.border_fill_alpha = 0.2

#Tick Formatter objects
#p.yaxis[0].formatter = NumeralTickFormatter(format="$0.00")

#Toolbar
p.toolbar_location = "below"
p.toolbar.autohide = True
p.toolbar.logo = None
p.add_tools(PanTool(dimensions="width"))


#show(p)

y = [4, 5, 5, 7, 2]

curdoc().theme = "dark_minimal"

q = figure(sizing_mode = "stretch_width", max_width= 500, height = 250)
q.line(x, y)
#show(q)

#x = list(range(0,26))
#y = random.sample(range(0,100), 26)

N = 1000
x = np.random.random(size=N) *100
y = np.random.random(size=N) * 100


mapper = linear_cmap(field_name="y", palette=Turbo256, low=min(y), high=max(y))

radii = y / 100*2
colors = ["#%02x%02x%02x" % (255, int(round(value * 255 / 100)), 255) for value in y]
q = figure(title="Vectorized colors example",\
           sizing_mode = "stretch_width",\
           max_width=500,\
           height=250)
#line = q.line(x,y, line_color="lightgrey", line_width=1)
circle = q.circle(x, y, radius=radii, fill_color=mapper, line_color="lightgrey", size=15)
show(row(children=[p,q], sizing_mode="scale_width"))